论文部分内容阅读
为了探讨新安江模型汇流参数中河网蓄水消退系数规律,本文从线性水库理论出发得到消退系数和蓄泄系数的关系,明确消退系数是反映流域特征的蓄泄系数和计算时段长度的函数。并在此基础上讨论了时段长度过长、时段内入流分布可能带来的不确定性。对于日降雨—径流分析很难求得的河网蓄水消退系数,本文提出了通过蓄泄系数参数规律来间接推求河网蓄水消退系数的新方法。以极简单的Simas公式为例探讨其地理因子的适用性,发现即使是这样简单的公式也可以得到较高的精度。面积在100~3000 km2的13个流域的时消退系数的平均误差为0.005,标准偏差为0.022。有了这样的思路,我们可以借鉴地表水汇流特性研究工作的庞大知识积累,研究各种地理因子及水力因子的更有综合代表性组合条件下的河网蓄水消退系数。
In order to discuss the rule of water storage dissipation coefficient in the Xinanjiang River model convergence parameters, this paper obtains the relationship between dissipative coefficient and leaking coefficient from the linear reservoir theory. It is clear that the dissipative coefficient is a function reflecting the leaching coefficient and the length of the calculation period. On the basis of this, we discuss the possible uncertainty brought by the length of the period and the inflow distribution in the period. For the daily rainfall-runoff analysis, it is very difficult to find the river network water retention coefficient. In this paper, a new method of indirectly estimating the river network water storage extinction coefficient by the law of the coefficient of the leaking coefficient is proposed. Using the very simple Simas formula as an example to explore the applicability of its geographic factors, we found that even such a simple formula can achieve higher accuracy. The average error of the regression coefficients of the 13 basins with the area of 100 ~ 3000 km2 was 0.005 with a standard deviation of 0.022. With this idea, we can draw on the huge accumulation of knowledge in the study of surface water flow characteristics and study the river network water storage dissipation coefficient under a more comprehensive and representative combination of various geographical factors and hydraulic factors.